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相关概念视频

Classification of Systems-I01:26

Classification of Systems-I

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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
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Natural and Artificial Concepts01:24

Natural and Artificial Concepts

535
In psychology, concepts can be divided into two categories: natural and artificial. Natural concepts are formed through direct or indirect experiences. For example, consider the concept of snow. If you live in a place with regular snowfall, such as Essex Junction, Vermont, you know snow through direct experiences. You’ve seen it fall, touched it, shoveled it, and played in it. You recognize its texture, appearance, and even its smell. In contrast, if you live on an island like Saint...
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Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

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A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
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Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

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Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Distribution Reliability and Automation01:25

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Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
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Cognitive Learning01:21

Cognitive Learning

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Cognitive learning is based on purposive behavior, incidental learning, and insight learning.
E. C. Tolman's theory of purposive behavior emphasizes that much behavior is goal-directed. He argued that to understand behavior, we must look at the entire sequence of actions leading to a goal. For instance, high school students study hard, not just due to past reinforcement but also to achieve the goal of getting into a good college.
Tolman introduced the idea that behavior is influenced by...
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Data Communication Based on MQTT in a Polymer Extrusion Process
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走向标准化的物联网本体,使用基于机器学习的框架进行无数据交换.

Simmi Chawla1, Parul Tomar2, Sapna Gambhir3

  • 1Department of Computer Engineering, J. C. Bose University of Science & Technology, YMCA Faridabad; 18001902005@jcboseust.ac.in.

Journal of visualized experiments : JoVE
|October 27, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了一种用于统一物联网 (IoT) 集成的机器学习框架,通过智能实体结构对齐,增强实时数据交换和跨多种设备的互操作性.

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科学领域:

  • 计算机科学 计算机科学
  • 人工智能的人工智能
  • 物联网的物联网,就是物联网.

背景情况:

  • 多样化的物联网 (IoT) 设备在实时互操作性和数据交换方面存在挑战,原因是数据模型和协议的多样性.
  • 现有的物联网生态系统通常是分散的,阻碍了无集成和通信.

研究的目的:

  • 为标准化和自适应物联网集成提出使用基于机器学习的本体统一框架,以实现基于机器学习的本体统一.
  • 在异质物联网环境中提高数据交换的一致性和效率.

主要方法:

  • 开发了一个整合实时数据流处理,语义相似性分析和自适应本体学映射的框架.
  • 采用机器学习来实现跨多种物联网设备的动态本体统一.
  • 在模拟和现实环境 (智能家居,医疗保健) 中测试了框架.

主要成果:

  • 实现了97%的本体学对齐准确度.
  • 将数据交换延迟降低到20毫秒以下.
  • 在不同类型的物联网设备之间保持了超过95%的互操作性.

结论:

  • 机器学习与语义建模的整合大大提高了物联网系统的性能,可扩展性和适应性.
  • 该框架为实时,智能和自动化的物联网互操作性提供了一个强大的,可扩展的解决方案.
  • 成功地解决了语义不一致问题,并支持在没有人工干预的情况下进行动态设备上线.